Of course, he tried different services. Canny, Uservoice, and Maze help to collect feedback, but it's not enough. Productboard, Aha!, and Cycle focus on building roadmaps, but no one covers the connection between what users do and what they say. You have to use your hands and eyes to collect this information from different sources.

As a result, Ilia's team assembled a Frankenstein from different services. It solved the problem, but it was not very convenient to use. So we thought: why not make a whole product to solve this problem? To be able to transform user pain points more accurately and easily into product decisions that matter.

So we gathered together to do what we lacked at our previous places of work - Kaleido.

Although Kaleido is in open beta, you can already:

- Record information about your users. Manually record your insights, set up an integration with Slack, or connect an integration from your feedback repository. You'll have all your users' ideas and thoughts in one place. And enrich that information with any characteristics of your users.

- Find patterns and combine individual thoughts into larger projects. You can convert 100 feedbacks into 10 projects, and AI will help you do this smarter and faster.

- Compare projects with each other. For example, you can see that one project has a lot more money closed, but another affects more people. And the third has significant seasonality. And based on this comparison, you can make product decisions.

- Set tasks for teams so that they understand the roots of problems. They can read the words behind your insights and be more empathetic to your users.

In short, we're making this kind of powerful tool. But the only thing you have to worry about is to look for patterns and compare projects to each other. That's when the magic happens!